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Kamatham Yedukondalu, Achanta Dattatreya Sarma, V. Satya Srinivas
2011 Progress In Electromagnetics Research M  
Different adaptive filters such as Least Mean Squares (LMS) and various Recursive Least Squares (RLS) are considered to mitigate the error.  ...  Estimation and mitigation of multipath error improves the positional accuracy of GPS.  ...  ACKNOWLEDGMENT The above work has been carried out under the project entitled "Investigation of atmospheric effects on future ground based augmentation for GPS systems", sponsored by Department of Science  ... 
doi:10.2528/pierm11080811 fatcat:52zwnhqopjb5lnejmkb6qjjn5m

Receiver-channel based adaptive blind equalization approach for GPS dynamic multipath mitigation

Yun Zhao, Xiaonan Xue, Tingfei Zhang
2013 Chinese Journal of Aeronautics  
Aiming at mitigating multipath effect in dynamic global positioning system (GPS) satellite navigation applications, an approach based on channel blind equalization and real-time recursive least square  ...  An adaptive estimator based on the real-time RLS algorithm is designed for dynamic estimation of multipath channel response.  ...  Acknowledgements The research work in this paper was co-supported by National Natural Science Foundation of China (No. 61101075), the Pre-research Foundation (No. 9140A24040710HK0126), and Fundament Research  ... 
doi:10.1016/j.cja.2013.02.015 fatcat:67ko74r75faofgzmittj6da5s4

Survey on Interference Mitigation via Adaptive Array Processing in GPS

Dan Lu, Qing Feng, Renbiao Wu
2006 PIERS Online  
These methods comprise self-coherence restoral technique based on the nature of GPS signal, space-time minimum mean square error, power minimization technique, GPS multipath mitigation technique using  ...  In this paper, from the point of adaptive array processing, we review the existing spatial and space-time interference suppression methods which attempt to mitigate interferences before the GPS receiver  ...  Acknowledgment This work was supported in part by the National Natural Science Foundation of China under grant 60325102 and 60428101.  ... 
doi:10.2529/piers050904035811 fatcat:daa76jjg6bhadhooshyvetiafe

Hybrid particle filtering algorithm for GPS multipath mitigation

Nan-shan ZHENG, Liang-shi CAI, He-fang BIAN, Cong LIN
2014 Transactions of Nonferrous Metals Society of China  
An alternative algorithm for mitigating GPS multipath was presented by integrating unscented Kalman filter (UKF) and wavelet transform with particle filter.  ...  The proposed WM-UKF-PF algorithm gives better error minimization, and significantly improves performance of multipath mitigation in terms of SNR and coefficient even though it has computation complexity  ...  Backward filtering and variable length least mean square adaptive filter for carrier phase multipath mitigation was proposed [5, 6] , whereas a prerequisite is reference station free from multipath, and  ... 
doi:10.1016/s1003-6326(14)63225-8 fatcat:fpx3ksa2ibggvc47cvgg6vcoaq

Review on Sparse-Based Multipath Estimation and Mitigation: Intense Solution to Counteract the Effects in Software GPS Receivers [chapter]

Ganapathy Arul Elango, B. Senthil Kumar, Ch.V.M.S.N. Pavan Kumar, C. Venkatramanan
2018 Multifunctional Operation and Application of GPS  
Multipath is the major concern in GPS receivers that fade the actual GPS signal causes positioning error up to 10 m so special care need to be taken to mitigate the multipath effects.  ...  filter, Kalman filter based post receiver methods etc. used to resolve the problem.  ...  Different adaptive filters using algorithms such as Least Mean Squares (LMS) and various Recursive Least Squares (RLS) are considered to mitigate the error Review on Sparse-Based Multipath Estimation  ... 
doi:10.5772/intechopen.76521 fatcat:tbq3vkkn7fdipeshv7klwkehte

Anti-Multipath Filter with Multiple Correlators in GNSS Receviers [chapter]

Chung-Liang Chang
2011 Adaptive Filtering Applications  
The use of narrow correlator to reduce chip spacing can effectively mitigate multipath and noise, which cuts down the error of 7080 m to 810 m (van Dierendonck et al., 1992) .  ...  (van Nee, 1992; van Nee et al., 1994) , which utilize maximum likelihood estimation technique and recursive least square method to estimate the magnitude, delay, phase and erase it from received signal  ...  The filter solves (10) recursively using the BP with adaptive learning rate algorithm.  ... 
doi:10.5772/16696 fatcat:wb2kqreabffu5eodj7psawf4pm

BDS Multipath Parameter Estimation in the Presence of Impulsive Noise

Jicheng Ding, Lin Zhao, Chun Jia, Zhibin Luo
2015 International Journal of Antennas and Propagation  
Results with various window widths of the average filtering and carrier-to-noise ratios indicate that the proposed scheme is able to improve the performance of the short-delay multipath mitigation under  ...  A modified least meanp-norm (LMP) algorithm is developed to reduce the convergence time with the same steady-state error by predicting the updating trend of weights.  ...  Acknowledgments The financial support from the National Science Foundation of China under Grant (nos. 61304234 and 61273081) and the Fundamental Research Funds for the Central Universities (HEUCFX041403  ... 
doi:10.1155/2015/864327 fatcat:xhc3r4mmcfggrec2dhry6oihvu

Mitigating Interference to GPS Operation Using Variable Forgetting Factor Based Recursive Least Squares Estimation

Aseel AlRikabi, Taher AlSharabati
2017 International Journal of Computer Networks & Communications  
The statistics are used to update (adaptively) the forgetting factor (Lambda) of the Recursive Least Squares (RLS) filter.  ...  The statistics of the GPS data and interference are utilized in terms of their distribution and variance.  ...  The conclusion is lack of GPS coordinates or erroneous ones. Adaptive filtering is used to mitigate the effect of interference and multipath occurring to the desired signal.  ... 
doi:10.5121/ijcnc.2017.9202 fatcat:s5ekizjlofa4raedefu4bhjpc4

Analysis of the dynamic response of a long span bridge using GPS/accelerometer/anemometer under typhoon loading

Houzeng Han, Jian Wang, Xiaolin Meng, Hua Liu
2016 Engineering structures  
At last, an adaptive recursive least squares (RLS) filter was adopted to separate the slow-varying movements, and the total displacement with enhanced measurement accuracy was obtained from the combined  ...  A least-squares based displacement reconstruction scheme using noise-mitigated accelerations was employed, and the Tikhonov regularization scheme with optimal selected regularization factor was used to  ...  Conflict of interest The authors declare that there is no conflict of interests regarding the publication of this paper. Acknowledgements  ... 
doi:10.1016/j.engstruct.2016.04.041 fatcat:myan7x6brfgubcezgioz7tbcke

Delay Spoofing Reduction in GPS Navigation System based on Time and Transform Domain Adaptive Filtering

P. Teymouri, M. R. Mosavi, M. Moazedi
2018 Iranian Journal of Electrical and Electronic Engineering  
The proposed adaptive filter is applied to a batch of spoofing GPS data in pseudo-range level.  ...  The principle of method is using adaptive filters to eliminate interference, obtain an estimate of interfering signal and subtract that from the corrupted signal.  ...  As a result, recursive method is utilized to minimize (17) by Recursive-Least-Squares (RLS) algorithm.  ... 
doaj:f8f3b8f907554447ae8be787ae4ecf99 fatcat:64azcjp2brds3lnufejybv4soe

Kernel Entropy Based Extended Kalman Filter for GPS Navigation Processing

Dah-Jing Jwo, Jui-Tao Lee
2021 Computers Materials & Continua  
for mitigation of the heavy-tailed type of multipath errors.  ...  errors or outliers of the GPS.  ...  Due to its simple structure, stable performance and low computational complexity, the conventional adaptive filtering algorithm where the least mean square error (MSE) is involved has been widely used  ... 
doi:10.32604/cmc.2021.016894 fatcat:lkvlw2osc5horknujf6gh3dz54

Detection of variance changes and mean value jumps in measurement noise for multipath mitigation in urban navigation

M. Spangenberg, J.-Y. Tourneret, V. Calmettes, G. Duchateau
2008 2008 42nd Asilomar Conference on Signals, Systems and Computers  
This paper studies an urban navigation filter for land vehicles. Typical urban-canyon phenomena as multipath and GPS outages seriously degrade positioning performance.  ...  Two different situations will be considered in the presence of multipath. These situations correspond to the presence or absence of line of sight for the different GPS satellites.  ...  Then, after calculating the required regressors, a recursive least square bank of filters is implemented to find the values ofv(k).  ... 
doi:10.1109/acssc.2008.5074604 fatcat:o5gq5s45dngg5auup7aze2ubjy

Spoofing Mitigation of GPS Receiver using Least Mean Squares-Based Adaptive Filter

M. R. Mosavi, Z. Shokhmzan
2015 Iranian Journal of Electrical and Electronic Engineering  
In this paper, we use methods of adaptive filter based on Least Mean Squares (LMS) and Normalized Least Mean Squares (NLMS) algorithms in-order to defense against spoofing.  ...  Therefore, even a low-power interference can easily spoof GPS receivers. Among the variety of GPS signal interference, spoofing is considered as the most dangerous intentional interference.  ...  Acknowledgment The authors would like to thank Iran National Science Foundation Science deputy of presidency for their valuable support during the authors' research work.  ... 
doaj:4b94fbc727024d3e877065feaf0ce2ed fatcat:x7523gduarcsbdss6u7cy5cc7a

Detection of Variance Changes and Mean Value Jumps in Measurement Noise for Multipath Mitigation in Urban Navigation

2010 Navigation  
Then, after calculating the required regressors, a recursive least square bank of filters is implemented to find the values ofv(k).  ...  The idea is that this multi-stage approach enables an urban-adapted navigation filter without entailing heavy computations in clear sky scenarios. The mitigation scheme is described as follows: 1.  ... 
doi:10.1002/j.2161-4296.2010.tb01766.x fatcat:54wfn2ayqnhydewvdwtbsikhp4

GNSS Vulnerabilities and Existing Solutions: A Review of the Literature

Jasmine Zidan, E. I. Adegoke, Erik Kampert, Stewart A. Birrell, Col R. Ford, Matthew D. Higgins
2020 IEEE Access  
In comparison to a fixed strategy such as least mean squares (LMS), recursive least squares (RLS) or waveletbased RLS, the adaptive filter framework with NN introduced 35% reduction in up-component RMSE  ...  A stochastic-gradient-based adaptive filter was also included for multipath compensation.  ... 
doi:10.1109/access.2020.2973759 fatcat:cwwoiufkavh4vahrie6adtrkim
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